Our Mission

  • Teach a highly-valued skill within the NHS and beyond
  • Spread the use of more advanced analytical techniques
  • Foster a coding ecosystem at SCW
  • Share and spark ideas about how we can improve our work through coding
  • Encourage methods for collaboration that improve reproducibility and transparency
  • Dispel some myths around some data analysis concepts

No coding experience? No problem

Our core syllabus will cover:

  • What to install
  • An introduction to essential programming concepts
  • Running code line-by-line in beginner-friendly Jupyter Notebooks
  • Working on Python scripts in Visual Studio Code
  • Virtual environment management
  • Collaboration on coding projects using GitHub

Visualisations

Python visualisation libraries

There are many packages available for data visualisation in python, all with their own strengths in terms of ease of coding, aesthetics, and interactivity. Some of the common ones are:

  • matplotlib
  • bokeh
  • seaborn
  • plotly
  • plotnine
  • pygal

For this taster session, we’ll be using seaborn.

Future topics to be covered

  • Comparison of visualisation packages available in Python
  • Visualisation best practice
  • Interactive visualisations & dashboarding
  • Reproducible visualisations

Demo

Visualisations Demonstration Repository

If you like what you saw today, you can find the repository for the demonstration here

Automation

Future topics to be covered

  • Webscraping
  • Merging multiple data files
  • Extracting data from formatted documents
  • Extracting files from Outlook mailboxes

Demo

Automation Demonstration Repository

If you like what you saw today, you can find the repository for the demonstration here

Data Science

Future topics to be covered

  • Foundational concepts
  • Linear algebra
  • Regression techniques
  • Categorisation techniques

Demo

Data Science Demonstration Repository

If you like what you saw today, you can find the repository for the demonstration here

How do I get involved?

Where and When?

  • Sessions will be an hour long, held once per fortnight- 3:00 PM on a Thursday.

Our website

Join us on Teams

See you on the 1st May!